Variational Bayesian cardinalized probability hypothesis density filter for robust underwater multi-target direction-of-arrival tracking with uncertain measurement noise

• Published in: Frontiers in physics Vol. 11
• Main Authors: Zhang, Boxuan, Hou, Xianghao, Yang, Yixin, Zhou, Jianbo, Xu, Shengli
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 28.02.2023
• Subjects: adaptive tracking; cardinalized probability hypothesis density filter; uncertain measurement noise; underwater multi-target direction-of-arrival tracking; variational Bayesian approach

The direction-of-arrival (DOA) tracking of underwater targets is an important research topic in sonar signal processing. Considering that the underwater DOA tracking is a typical multi-target problem under unknown underwater environment with missing detection, false alarm, and uncertain measurement...